Effectiveness of ICT in Investment Policy Decision-making for Economic Entities
MUSSAGULOVA G. BAISHOLANOVA K. TULEGENOVA E. ADRANOVA A. YENSEBAYEVA G.
2024Research Institute of Intelligent Computer Systems
International Journal of Computing
2024#23Issue 4655 - 662 pp.
The purpose of the study is to investigate the effectiveness of using information and communication technologies (ICT) to optimize investment policy decision-making for economic entities. The research tasks include analyzing the potential of ICT in enhancing investment decisions, performing a SWOT analysis of Kazakhstans agricultural sector, comparing ICT use in the agricultural sectors of the United States and Kazakhstan, and developing strategies for integrating ICT in Kazakhstans agricultural sector. The technical problem is to develop and implement ICT solutions that enhance investment policy decision-making in dynamic environments. The mathematical methods used include statistical analysis, optimization techniques, and predictive modeling to evaluate the effectiveness of ICT and develop implementation strategies in the agricultural sector. The study found significant potential for using modern information and communication technologies to enhance the investment policy decision-making of economic entities. These technologies facilitate the optimization of operations in a dynamic environment, improving production, marketing, business activity, and ultimately boosting the investment appeal of the entity.
data collection and dissemination , investments in development , practical expediency , real benefits , software and hardware , user rights and interests
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Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
Department of Information Systems, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
Institute of Engineering and Technology, Korkyt Ata Kyzylorda University, Kyzylorda, 120000, Kazakhstan
Institute of Natural Sciences, Korkyt Ata Kyzylorda University, Kyzylorda, 120000, Kazakhstan
Faculty of Information Technology
Department of Information Systems
Institute of Engineering and Technology
Institute of Natural Sciences
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